Language Models for Error Detection
Ryan discusses three studies conducted to test the capabilities of large language models in error detection tasks, including finding errors in papers, answering surface-level questions, and evaluating scientific contributions. The results show promise but also highlight the challenges of objective evaluation.In this clip
From this podcast

Data Skeptic
Automated Peer Review
Related Questions